Will AI replace astronomers?

Parts of the job are being automated. About 2h 58m of an 8-hour shift goes to tasks that AI or robots already do largely on their own. The rest still needs a person. The other 5h 2m (63%) stays with people. Separately, BLS expects about 7.8% more of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 4 of 17 tasks, about 2h 58m of a typical shift. The biggest ones:

• Analyze research data to determine its significance, using computers. (1h 24m a shift, AI mostly does it alone)
• Study celestial phenomena, using a variety of ground-based and space-borne telescopes and scientific instruments. (40m a shift, AI mostly does it alone)
• Develop instrumentation and software for astronomical observation and analysis. (35m a shift, AI mostly does it alone)
• Review scientific proposals and research papers. (20m a shift, AI mostly does it alone)

Not in workplaces like this one, based on a 2026 review of robot deployments. For 1 physical task, no robot has shown it can do the work yet.

5h 2m of a typical shift, or 63%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Present research findings at scientific conferences and in papers written for scientific journals. (1h 4m a shift)
• Teach astronomy or astrophysics. (49m a shift)
• Collaborate with other astronomers to carry out research projects. (35m a shift)
• Raise funds for scientific research. (30m a shift)
• Mentor graduate students and junior colleagues. (25m a shift)

For the 2 tasks in this job where AI shows up and timing data exists, a typical request takes about 11h 55m for a person alone and about 1h 27m with AI. These are Claude's own estimates from real conversations in April and May 2026 (Anthropic Economic Index). They describe single requests, not whole workdays, and time saved on a task doesn't mean jobs are cut. The biggest gaps:

• Develop instrumentation and software for astronomical observation and analysis (about 12h 8m alone, 1h 36m with AI)
• Analyze research data to determine its significance, using computers (about 11h 42m alone, 1h 18m with AI)

On Indeed, job postings in the Scientific Research & Development sector are at 84% of their February 2020 level (all U.S. postings: 104%), up 19.9% from a year earlier, as of Oct 9, 2026. BLS separately expects about 100 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $128,820 a year ($61.94 an hour), 153% above the median for all U.S. jobs ($50,980). Most people in this job earn between $78,010 and $195,190 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects growth of 7.8% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 2,600 jobs in 2035. It expects about 100 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 2,120 people in the U.S., roughly 0.00% of all workers (BLS, May 2025). That makes it the 775th largest of the 796 jobs on this site. BLS expects about 2,600 in 2035.

The most common requirement is a doctoral degree: about 65% of people in the job said so in the official O*NET survey. O*NET rates the job at level 5 of 5 for preparation, which usually means: graduate degree. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Mathematics, Science, Learning Strategies, Active Learning
• Get strong at the parts of the job that stay with people (listed above), which take 5h 2m of a typical shift
• Tools employers list: The MathWorks MATLAB, R, Python, C++, C
• Learn to use AI well on the tasks where it already shows up in this job (listed above)

These use similar skills, with less of a typical shift touched by AI or robots. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Physicists (2h 3m touched, $172k median pay)
• Atmospheric and Space Scientists (48m touched, $99k median pay)
• Hydrologists (1h 44m touched, $97k median pay)
• Geoscientists (19m touched, $102k median pay)
• Biochemists and Biophysicists (43m touched, $127k median pay)

Each task carries its own evidence label. For this job: 4 observed in real AI use, 13 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.